Research Experience

Publications

• Manzorro, R., Xu, Y., Vincent, J., Rivera, R., Matteson, D., & Crozier, P. (2022). Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. Microscopy and Microanalysis, 1-14. doi:10.1017/S1431927622000356.

• Xu, Y., Düker, M. C., & Matteson, D. S. (2021). Testing Simultaneous Diagonalizability. arXiv preprint arXiv:2101.07776.

• Goolsby, C., Losey, J., Xu, Y., Düker, M. C., Sherman, M. G., Matteson, D. S., & Moradi, M. (2021). Addressing the Embeddability Problem in Transition Rate Estimation. bioRxiv preprint bioRxiv:707919.

• Thomas, A. M., Crozier, P. A., Xu, Y., & Matteson, D. S. (2022). Detection and hypothesis testing of features in extremely noisy image series using topological data analysis, with applications to nanoparticle videos. arXiv preprint arXiv:2209.13584.

Presentations

Testing Simultaneous Diagonalizabiliy

• Contributed & Poster. Joint Statistical Meeting (JSM), Business and Economic Statistics Section, Speed Session. July 2019. Denver, CO.

• Poster. Cornell Celebration of Statistics and Data Science, Poster Session. Sept 2019. Ithaca, NY.

Recording atomic column positions and intensities via Blob Detection in noise-degraded TEM frames

• Contributed. UPSTAT 2021 Conference, Parallel Session, Bronze Medal Presenter. Apr 2021. (Virtual) Rochester, NY.

• Contributed. The 37th SIDIM, Data Science in Science Minisymposia, Parallel Session. Feb 2022. (Virtual) Puerto Rico.

Non-parametric ridge recovery of TEM image series given temporal parameterization

• Contributed. 2022 INFORMS Annual Meeting, Science-Integrated Statistical Learning Section, Technical Session. Oct 2022. Indianapolis, IN.

• Poster. 2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW), Poster Session. Nov 2022. (Hybrid) Rochester, NY.

Collaborations

• HDR Catalyst Project | Nov 2019 - Present | Ithaca, NY
  Collaborate with groups of:

  • Prof. Roberto Rivera: propose and adapt hidden Markov models to dynamically cluster nanoparticle atomic structural configurations.

  • Prof. Peter A. Crozier: adapt blob detection algorithm to extract locations and intensities of atomic columns.

  • Prof. Mahmoud Moradi: refine the estimators of Markov chain transition rate matrices from transition probability matrices.

• Heart Failure Project | Dec 2021 - Present | Ithaca, NY
  Collaborate with New York-Presbyterian (NYP) Hospital to conduct patients’ heart failure inference from Electrocardiograms (ECG) data with other hospital-visit records.